在CMake 中使用 find_package 来查找 TensorRT: 要在CMake 中查找 TensorRT,可以使用 find_package(TensorRT REQUIRED) 命令。这将指示 CMake 查找 TensorRT 库的配置文件,通常是 TensorRTConfig.cmake 或tensorrt-config.cmake。 CMake 会在标准路径和 CMAKE_PREFIX_PATH 指定的路径中搜索这些配置文件。如果 Ten...
TensorRT from NVIDIA, as it is an optimization library specifically developed by NVIDIA for their GPUs and is not bundled with the TensorFlow package. You can use the tensorflow[and-cuda] package to install TensorFlow with the required CUDA/cuDNN packages, but it seems TensorRT is not included...
Tensorrt warning about not able to find tensorrt is fine if you are not goint to use tensorrt with tensorflow, since the package you use doesn't seem to use tensorrt. Giving a example with ignoring audiocraft: Example Dockerfile from your dockerfile partially ...
Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... 这个问题实际上是Docker镜像文件未安装TensorRT导致的,可以在Dockerfile里添加安装命令后重新构建镜像: RUN pip install tensorrt -i https...
但是有时候,下载了预编译好的项目时,怎么手动指定路径呢? 解决方案 通过设定一个project_DIR变量来指定路径,该路径是projectConfig.cmake文件所在的路径,比如下载预编译好的llvm。 set(LLVM_DIR yourpath/llvm-7.0/lib/cmake/llvm) find_package(LLVM CONFIG REQUIRED) 1. 2....
(found suitable version "3.7.3", minimum required is "3.7") CMake Error at /usr/local/share/cmake-3.10/Modules/FindPackageHandleStandardArgs.cmake:137 (message): Could NOT find PythonLibs (missing: PYTHON_LIBRARIES PYTHON_INCLUDE_DIRS) (Required is at least version "3.7") Call Stack (...
TensorRT: 8.4.1.5 Visionworks: NOT_INSTALLED OpenCV: 4.5.4 compiled CUDA: NO VPI: ii libnvvpi2 2.1.6 arm64 NVIDIA Vision Programming Interface library Vulkan: 1.3.203 Below here is use gst inspector to check the decoder feature on Jetson AGX Orin: ...
find_package() 主要用于查找并配置复杂的第三方软件包,这些软件包通常包含多个库和头文件,并且可能需要执行额外的配置步骤。例如,对于 Boost 库,你需要使用find_package () 来查找和配置 Boost,CMake 会查找 Boost 库的位置,并设置正确的库路径、头文件路径和编译选项等。find_library()则主要用于查找单个库文件。
Nvidia. Since this is a optimization library for Inferences and developed by Nvidia for their specific GPUs, it may not come bundled with TF package. You can usetensorflow[and-cuda]package for installing TF with required cuda/cudnn packages as below.But they seems don't have tensorrt bundled...
build/install/lib/cmake/ppl \ -DOpenCV_DIR=/usr/local/lib/cmake/opencv4 \ -DTENSORRT_DIR=/project/TensorRT-8.4.0.6 \ -DCUDNN_DIR=/project/cudnn-linux-x86_64-8.3.2.44_cuda10.2-archive -- CMAKE_INSTALL_PREFIX: /project/mmlab_template/mmdeploy/build/install -- Build TensorRT custom ...